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Graph Analytics on Manycore Memory Systems

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0 Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2869463

Abstract: Graphs are ubiquitous, and graph analytics has been widely adopted in many big data applications such as social computation and natural language processing, as well as web-search and recommendation systems. Prior research focuses on processing… read more here.

Keywords: manycore memory; analytics manycore; memory systems; graph analytics ... See more keywords

Svelto: High-Level Synthesis of Multi-Threaded Accelerators for Graph Analytics

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1 Published in 2022 at "IEEE Transactions on Computers"

DOI: 10.1109/tc.2021.3057860

Abstract: Graph analytics are an emerging class of irregular applications. Operating on very large datasets, they present unique behaviors, such as fine-grained, unpredictable memory accesses, and highly unbalanced task level parallelism, that make existing high-performance general-purpose… read more here.

Keywords: level; level synthesis; accelerators graph; graph analytics ... See more keywords

A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications

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1 Published in 2018 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2018.2807452

Abstract: Graph is an important data representation which appears in a wide diversity of real-world scenarios. Effective graph analytics provides users a deeper understanding of what is behind the data, and thus can benefit a lot… read more here.

Keywords: comprehensive survey; graph embedding; survey graph; graph ... See more keywords

A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications

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0 Published in 2024 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2025.3609877

Abstract: A graph is a fundamental data model to represent various entities and their complex relationships in society and nature, such as social networks, transportation networks, financial networks, and biomedical systems. Recently, large language models (LLMs)… read more here.

Keywords: large language; llm; language; graph analytics ... See more keywords

CongraPlus: Towards Efficient Processing of Concurrent Graph Queries on NUMA Machines

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1 Published in 2019 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2019.2899595

Abstract: Graph analytics has been routinely used to solve problems in a wide range of real-life applications. Efficiently processing concurrent graph analytics queries in a multiuser environment is highly desirable as we enter a world of… read more here.

Keywords: memory bandwidth; processing concurrent; concurrent graph; graph ... See more keywords